Adaptive repair method for constraint handling in multi-objective genetic algorithm based on relationship between constraints and variables

While evolutionary algorithms are known among the best methods for solving both theoretical and real-world optimization problems, constraint handling is still one of the major concerns. Common constraint handling methods reject or devalue infeasible solutions depending on their distance from the feasible space, even if they dominate feasible solutions. Alternatively, repair methods aim to overcome infeasibility, but they are currently limited to...